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Monotonous trend estimation using recursive prony analysis

Yang, Xilin, Garratt, Matt, & Pota, Hemanshu (2011) Monotonous trend estimation using recursive prony analysis. In Nesic, Dragan (Ed.) Proceedings of the 2011 Australian Control Conference, IEEE, University of Melbourne, Melbourne, Vic, pp. 321-326.

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Abstract

This paper presents a solution to the problem of estimating the monotonous tendency of a slow-varying oscillating system. A recursive Prony Analysis (PA) scheme is developed which involves obtaining a dynamic model with parameters identified by implementing the forgetting factor recursive least square (FFRLS) method. A box threshold principle is proposed to separate the dominant components, which results in an accurate estimation of the trend of oscillating systems. Performance of the proposed PA is evaluated using real-time measurements when random noise and vibration effects are present. Moreover, the proposed method is used to estimate monotonous tendency of deck displacement to assist in a safe landing of an unmanned aerial vehicle (UAV). It is shown that the proposed method can estimate instantaneous mean deck satisfactorily, making it well suited for integration into ship-UAV approach and landing guidance systems.

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ID Code: 51546
Item Type: Conference Paper
Keywords: Accurate estimation, Forgetting factors, Landing guidance, Oscillating systems, Prony analysis
ISBN: 9781424492459
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100)
Divisions: Current > Research Centres > Australian Research Centre for Aerospace Automation
Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 11 Jul 2012 22:26
Last Modified: 09 Jul 2013 09:04

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